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Integration of the Scientific Recommender System Mr. DLib into the Reference Manager JabRef

Part of the Lecture Notes in Computer Science book series (LNISA,volume 10193)


This paper presents a description of integration of the Mr. DLib scientific recommender system into the JabRef reference manager. Scientific recommender systems help users identify relevant papers out of vast amounts of existing literature. They are particularly useful when used in combination with reference managers. Over 85% of JabRef users stated that they would appreciate the integration of a recommender system. However, the implementation of literature recommender systems requires experience and resources that small companies cannot afford. With the desires of users in mind, we integrated the Mr. DLib scientific recommender system into JabRef. Using Mr. DLib’s recommendations-as-a-service, JabRef users can find relevant literature and keep themselves informed about the state of the art in their respective fields.


  • IR
  • Scientific recommender system
  • Reference manager
  • Recommendations-as-a-service

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Fig. 1.


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    Detailed information about the specific algorithms and their evaluation will be published in the near future.


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This publication has derived from research conducted with the financial support of Science Foundation Ireland (SFI) under Grant Number 13/RC/2106. We are also grateful for support received by Siddharth Dinesh and the JabRef Team: Oliver Kopp, Simon Harrer, Joerg Lenhard, Stefan Kolb, Matthias Geiger, Oscar Gustafsson, Tobias Diez, and Christoph Schwentker.

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Correspondence to Joeran Beel .

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Feyer, S., Siebert, S., Gipp, B., Aizawa, A., Beel, J. (2017). Integration of the Scientific Recommender System Mr. DLib into the Reference Manager JabRef. In: , et al. Advances in Information Retrieval. ECIR 2017. Lecture Notes in Computer Science(), vol 10193. Springer, Cham.

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